Xinjiang Tianye Co (600075) Fair Value & Analysis
Basic Materials · CN · Market cap 8.1B CNY
Analysis
Xinjiang Tianye Co (600075) currently trades at ¥4.45, while our model-based Fair Value estimate is ¥5.06 — implying the stock looks roughly 13.7% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Xinjiang Tianye Co.,Ltd. produces and sells chemical products in China and internationally. The company offers general-purpose polyvinyl chloride resins, special resins, paste resins, caustic soda flakes, caustics soda granules, cement and cement products, ketchup, and citric acid. It is involved in automobile transportation; production and sale of plastic products, and calcium carbide and its by-products; recycling, reprocessing, and sales of chemical products; import and export of goods and technologies; mechanical equipment, housing, and vehicle leasing; cargo loading and unloading, and handling services; and paper packaging bags, composite packaging bags, plastic woven bags, and plastic bags. The company also sales sulfuric acid, hydrochloric acid, sodium hydroxide, sodium hypochlorite, calcium hypochlorite, steel, building materials, livestock products, machinery and equipment, and other chemical products, as well as involved in automobile road transportation; planting, breedin…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.